Allainclair
From Brazil
10 years of commercial experience
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Allainclair – Python, Flask, FastAPI
Ever since he was a teenager, Allainclair has been passionate about computers. Every day, he strives to improve his skills and knowledge as a tech professional. He has extensive experience in Data Science and previously worked as a Computer Science professor's assistant, educating students about algorithms, data structures, and object-oriented programming. Currently, he is concentrating on back-end development and is eager to take on new challenges.
Main technologies
Additional skills
Rewards and achievements
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ASAPDirect hire
Potentially possibleExperience Highlights
Backend engineer
Designing, creating, and maintaining a backend service integrating load boards across North America.
- Designed from scratch and developed REST API service using FastAPI, PostgreSQL, RabbitMQ, Redis, AWS;
- Integrate REST API with different providers (load boards);
- Wrote unit and end-to-end tests;
Full Stack Software Engineer
It is a large social network where any user can be inspired by the pins of the platform.
Allainclair has worked for almost three years as a backend and full-stack engineer maintaining internal tools for the Ads & Growth and Trust and Safety teams.
Main accomplishments:
- created front-end and back-end features for the Pinterest internal tools;
- maintained the reliability and stability of the systems by improving their observability;
- wrote unit and integration tests for frontend (React) and backend (Python);
- designed new features according to product and engineering requirements;
- integrated new features with some internal systems.
Assistant Professor
Computer Science chair.
Allainclair ministered the following subjects:
- Algorithms and Data Structures;
- Relational Database;
- Multi and Hypermedia Systems;
- Algorithm Analysis and Graph Theory;
- Object-Oriented Programming.
Data Scientist, Software Engineer
Smart traffic lights (STL) hardware and software, that can sense streets using cameras and act (open/close) autonomously.
Main accomplishments:
- conducted research in traffic optimization area by using smart traffic lights;
- created a traffic simulator using SUMO (Simulation of Urban MObility). The main algorithm on this simulator had 200% to 400% waiting time optimization on light to medium vehicle traffic;
- designed and developed optimization algorithms for smart traffic lights;
- worked closely with hardware and software teams to develop many features of the STL;
- designed and create embedded distributed real-time systems for the STL with a microservice architecture.
Data Scientist
It is a startup that advises clients on security issues. It offered a system to analyze social network messages, like Twitter, using Natural Language Process techniques to alert the clients.
Main accomplishments:
- created spam and classifier models using Naive Bayes based on Twitter messages;
- developed clustering models to aggregate similar messages;
- used Python/Scikit-learn and Java to create the machine learning models;
- deployed the models integrating with Elasticsearch and Apache Kafka.